• ICU Mortality Study: a study of mortality outcomes of patients after admission to ICU based on survival and medical records. Age, consciousness level and blood pressure are significant factors.

Model: Linear Regression Model, Logistic Regression Model Diagnostic: Selected the final model based on AIC; Performed Pearson residuals and diagnostic plots; Conducted ROC and AUC to evaluate the accuracy (0.87)

• Tumor Growth Study: investigated the effects of different chemotherapy treatments on the volumes of different level VEGF tumors. Tumors increase in quadratic way over time and drugs are only useful when VEGF at a low level. Model: Linear Mixed Effects Model

Diagnostic: designed random effects testing, semi-variogram and residuals plot to confirm and visualize the final model

• Gun Buy-backs & Suicide: Examined data of non-firearm and firearm suicide in Australia from 1915 to 2004. Gun buy-backs will save lives. Model: Time Series Model (ARIMA, seasonality and polynomial) Diagnostic: Checked model sensitivity, verifying different models leading to the same result

• Remain in Math: Collected demographic and academic information of UCI math transfer students from 2001 to 2011; imputed the missing values (33% of the total). GPA and No. of math classes taking are the main factors that influenced students' choices.